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Iterative pixelwise approach applied to computer-generated holograms and diffractive optical elements

机译:应用于计算机生成的全息图和衍射光学元件的迭代映射方式

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摘要

This paper presents a novel approach to optimizing the design of phase-only computer-generated holograms (CGH) for the creation of binary images in an optical Fourier transform system. Optimization begins by selecting an image pixel with a temporal change in amplitude. The modulated image function undergoes an inverse Fourier transform followed by the imposition of a CGH constraint and the Fourier transform to yield an image function associated with the change in amplitude of the selected pixel. In iterations where the quality of the image is improved, that image function is adopted as the input for the next iteration. In cases where the image quality is not improved, the image function before the pixel changed is used as the input. Thus, the proposed approach is referred to as the pixelwise hybrid input-output (PHIO) algorithm. The PHIO algorithm was shown to achieve image quality far exceeding that of the Gerchberg-Saxton (GS) algorithm. The benefits were particularly evident when the PHIO algorithm was equipped with a dynamic range of image intensities equivalent to the amplitude freedom of the image signal. The signal variation of images reconstructed from the GS algorithm was 1.0223, but only 0.2537 when using PHIO, i.e., a 75% improvement. Nonetheless, the proposed scheme resulted in a 10% degradation in diffraction efficiency and signal-to-noise ratio. (C) 2017 Optical Society of America
机译:本文介绍了一种新颖的方法来优化仅相位计算机生成的全息图(CGH)的设计,以在光学傅立叶变换系统中创建二进制图像。优化开始于选择具有幅度的时间变化的图像像素。调制图像功能经历逆傅立叶变换,然后施加CGH约束和傅立叶变换,从而产生与所选像素的幅度的变化相关联的图像函数。在改进图像的质量的迭代中,采用图像功能作为下一次迭代的输入。在图像质量未改善的情况下,将像素改变之前的图像功能用作输入。因此,所提出的方法被称为像素混合输入输出(PHIO)算法。 PHIO算法显示为实现远超过Gerchberg-Saxton(GS)算法的图像质量。当PHIO算法配备有相当于图像信号的幅度自由度的图像强度的动态范围时,效果特别明显。从GS算法重建的图像的信号变化是1.0223,但使用PHIO时,仅为0.2537,即75%的改进。尽管如此,所提出的方案导致衍射效率和信噪比下降了10%。 (c)2017年光学学会

著录项

  • 来源
    《Applied optics》 |2018年第1期|共8页
  • 作者

    Hsu Wei-Feng; Lin Shih-Chih;

  • 作者单位

    Natl Taipei Univ Technol Dept Electopt Engn Taipei 10608 Taiwan;

    Natl Taipei Univ Technol Dept Electopt Engn Taipei 10608 Taiwan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 应用;
  • 关键词

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